Building a novel physical design of a distributed big data warehouse over a Hadoop cluster to enhance OLAP cube query performance.
Yassine RamdaneOmar BoussaidDoulkifli BoukraâNadia KabachiFadila BentayebPublished in: Parallel Comput. (2022)
Keyphrases
- big data
- data warehousing
- physical design
- data warehouse
- data intensive
- data cube
- business intelligence
- data management
- cloud computing
- mapreduce framework
- design methodology
- data analysis
- multi dimensional
- database management
- decision support
- database administrators
- query execution
- business analytics
- commodity hardware
- distributed systems
- on line analytical processing
- data integration
- distributed databases
- big data analytics
- social media
- design tools
- data mining
- query optimization
- database management systems
- data processing
- distributed environment
- sql server
- data analytics
- map reduce
- index structure
- distributed computing
- materialized views
- query processing
- database
- object oriented
- knowledge discovery
- decision making
- data sets
- design process
- decision support system
- open source
- data sources
- database systems
- machine learning
- databases